Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
607-01-006 ISMRM Abstract

Fully Automatic Left Atrial Strain Quantification via Multi-Task Learning on Cardiac Cine MRI

Primary: Analysis Methods - Data Processing
Secondary: Cardiovascular - Myocardium
607-01-006 · Advanced Cardiac Quantification Methods · Thursday, 14 May, 8:30 AM–10:20 AM · Meeting Room 1.40
Keywords: Cardiac Cine MRI Multi-task Learning Automatic Quantification Left atrial strain Multi-center study
Accepted
Haiyang Chen 1, Yichen Zhao1, Yiwen Gong2, Zhuo Chen1, Juan Gao1, Fan Yang1, Zhihao Xue1, Zeping Qiu2, Ji Zhao3, Qing Li4, Chengyan Wang4, Yucheng Chen3, Liang Zhong5, Sha Hua2, Wei Jin2, Chenxi Hu1
1National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
2Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
3The Medicine Department, West China Hospital, Sichuan University, Chengdu, Sichuan, China
4Human Phenome Institute, Fudan University, Shanghai, China
5National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore
Presenting Author: Haiyang Chen

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References

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9. Morais P, Marchi A, Bogaert JA, et al. Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting. J Cardiovasc Magn Reson. 2017;19(1):24. doi:10.1186/s12968-017-0333-y [doi]
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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/607-01-006